Graphical models allow us to represent specific correlation structures between any two variables (entries) of multivariate observations.
Inferring the topology of this structure directly from the data is referred to as graph learning, which has been increasingly leveraged in numerous applications, such as biology [1]}, [2]}, [3]}, finance [4]}, or signal processing [5]}, [6]}.
